However, CNNs only became the most used feature extraction and learning techniques within the last decade.
Combined with GPU and large datasets, face recognition methods are capable of surpassing human performance using deep network architectures, achieving state-of-the-art performance on many surveillance and biometrics tasks [1]}, [2]}, [3]}, [4]}, [5]}, [6]}.
